Instructions to use MLMvsCLM/610m-mlm40-42k-5000 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use MLMvsCLM/610m-mlm40-42k-5000 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("feature-extraction", model="MLMvsCLM/610m-mlm40-42k-5000", trust_remote_code=True)# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("MLMvsCLM/610m-mlm40-42k-5000", trust_remote_code=True, device_map="auto") - Notebooks
- Google Colab
- Kaggle
Add link to code repository
#1
by nielsr HF Staff - opened
This PR improves the model card by adding a direct link to the associated GitHub repository (https://github.com/Nicolas-BZRD/EuroBERT), where the code and project artifacts for this research are likely hosted or generated using the Optimus training library. This addition makes it easier for users to find the codebase.